Hydroinformatics: Data Science for Water Utilities

Managing reliable water services requires not only a sufficient volume of water but also significant amounts of data. Water professionals continuously measure the flow and quality of the water and how customers perceive their service.

Data and water are, as such natural partners. Water utilities are awash, or even flooded with data. Data professionals use data pipelines and data lakes and make data flow from one place to another. Hydroinformatics is the activity of using data to solve problems related to water.

This series of articles shows how to use the R language to solve water problems. If you like to learn how to use the R computer language to solve water problems, then consider reading Data Science for Water Utilities.

Data Science for Water Utilities

Data Science for Water Utilities

Data Science for Water Utilities published by CRC Press is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems using the R language for statistical computing.

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Articles

netCFD is a popular data format using geospatial time series in any science. The ncdf4 library provides functionality to use the netCDF format in R.
Analysing soil moisture data with the ncdf4 library
netCFD is a popular data format using geospatial time series in any science. The ncdf4 library provides functionality to use the netCDF format in R.
Data Science
RStats Hydroinformatics Map Porn
This article shows how to plot a geographic bubble chart to visualise water consumption. The data was obtained from Phú Thọ Water in Vietnam.
Visualise Water Consumption with a Geographic Bubble Chart
This article shows how to plot a geographic bubble chart to visualise water consumption. The data was obtained from Phú Thọ Water in Vietnam.
Data Science
Hydroinformatics RStats Map Porn
International keynote at the Asset Data & Insights Conference in Auckland, 26 July 2017. Using virtual tags to create value from SCADA data.
How Virtual Tags have transformed SCADA data analysis
International keynote at the Asset Data & Insights Conference in Auckland, 26 July 2017. Using virtual tags to create value from SCADA data.
Data Science
Hydroinformatics RStats
Demonstrating the various ways percentile calculations can be undertaken in R, specifically concerning measuring water supply turbidity.
Percentile Calculations in Water Quality Regulations
Demonstrating the various ways percentile calculations can be undertaken in R, specifically concerning measuring water supply turbidity.
Data Science
Hydroinformatics RStats
This article explains how to implement spike detection for time series data using the runlength function in the R language.
Spike Detection in Water Treatment Data in the R Language
This article explains how to implement spike detection for time series data using the runlength function in the R language.
Data Science
Hydroinformatics RStats